Resolving the fibrotic niche of human liver cirrhosis at single-cell level
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Abstract
Liver cirrhosis is a major cause of death worldwide and is characterized by extensive fibrosis. There are currently no effective antifibrotic therapies available. To obtain a better understanding of the cellular and molecular mechanisms involved in disease pathogenesis and enable the discovery of therapeutic targets, here we profile the transcriptomes of more than 100,000 single human cells, yielding molecular definitions for non-parenchymal cell types that are found in healthy and cirrhotic human liver. We identify a scar-associated TREM2+CD9+ subpopulation of macrophages, which expands in liver fibrosis, differentiates from circulating monocytes and is pro-fibrogenic. We also define ACKR1+ and PLVAP+ endothelial cells that expand in cirrhosis, are topographically restricted to the fibrotic niche and enhance the transmigration of leucocytes. Multi-lineage modelling of ligand and receptor interactions between the scar-associated macrophages, endothelial cells and PDGFRα+ collagen-producing mesenchymal cells reveals intra-scar activity of several pro-fibrogenic pathways including TNFRSF12A, PDGFR and NOTCH signalling. Our work dissects unanticipated aspects of the cellular and molecular basis of human organ fibrosis at a single-cell level, and provides a conceptual framework for the discovery of rational therapeutic targets in liver cirrhosis.
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In published single-cell RNA-sequencing datasets from MASH patient livers, FOXP3+ cells expressing canonical Treg transcripts such as IL2RA, CTLA4, and TNFRSF18 are present.
“Focusing our analysis on the CD4+ T cell compartment, we identified FOXP3+ cells expressing canonical Treg cell transcripts, including IL2RA, CTLA4 and TNFRSF18 (Fig. 1D, right panel).”
From Regulatory T cells safeguard liver health during metabolic-associated steatohepatitis (2026) · cites this paper as [22]
Extended Data Figure 3 describes single-cell analysis of liver T cells from five healthy and five cirrhotic donors, so the paper provides a relevant T-cell dataset. It does not report FOXP3+ cells coexpressing IL2RA, CTLA4 and TNFRSF18. Its NASH analysis in Extended Data Figure 7 uses whole-liver microarray data, not a NASH-specific single-cell T-cell dataset. (LLM, conf=0.84)
Experimental — accuracy not yet measuredLAMs are equivalent to scar-associated macrophages (SAM) in human MASH.
“are equivalent to the scar-associated macrophages (SAM) in human MASH (6–8)”
From Lipid-associated macrophages' promotion of fibrosis resolution during MASH regression requires TREM2 (2024) · cites this paper as [6]
The Results section ('Pro-fibrogenic phenotype of scar-associated macrophages'; page unavailable) reports expansion of scar-associated macrophages (SAMΦ) in patients with NASH, now termed MASH. Our copy does not identify these cells as LAMs or establish that the two populations are equivalent. (LLM, conf=0.86)
Experimental — accuracy not yet measuredConditioned media from TREM2+ SAM were reported to be more fibrogenic compared to their TREM2− non-scar-associated counterparts.
“However, conditioned media from TREM2+ SAM were reported to be more fibrogenic compared to their TREM2− non-scar-associated counterparts (6).”
From Lipid-associated macrophages' promotion of fibrosis resolution during MASH regression requires TREM2 (2024) · cites this paper as [6]
The Results section (‘Distinct macrophage subpopulations inhabit the fibrotic niche’; page unavailable) reports that conditioned media from TREM2+CD9+ scar-associated macrophages promoted fibrillar collagen expression in human hepatic stellate cells. Extended Data Figure 10c describes tests with media from other macrophage populations, but the available text does not report that the scar-associated macrophage media was more fibrogenic than media from TREM2− counterparts. (LLM, conf=0.86)
Experimental — accuracy not yet measuredGpnmb, Cd9, and Fabp5 are characteristics of SAM described in humans.
“that are characteristics of SAM described in humans (6, 7).”
From Lipid-associated macrophages' promotion of fibrosis resolution during MASH regression requires TREM2 (2024) · cites this paper as [6]
The Results section, “Distinct macrophage subpopulations inhabit the fibrotic niche” (page unavailable), identifies CD9 as a marker of scar-associated macrophages in human livers. Searches of our copy for GPNMB and FABP5 found no passages identifying either as a characteristic of those cells, so the three-gene claim is only partly supported. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSingle-cell transcriptomics has revealed the presence of numerous subsets/states of macrophages in any given injured tissue in humans.
“The growing accessibility of single-cell transcriptomics has also revealed the presence of numerous subsets/states of macrophages in any given injured tissue in humans (30–33).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [31]
The Results section, “Distinct macrophage subpopulations inhabit the fibrotic niche,” identifies several macrophage clusters in human cirrhotic liver, including scar-associated macrophages and Kupffer cells. This supports the liver example, but this paper alone does not establish that numerous macrophage states occur in any given injured human tissue. (LLM, conf=0.87)
Experimental — accuracy not yet measured
During active fibrogenesis, the macrophage pool is dominated by pro-inflammatory and pro-fibrogenic macrophages.
“While the precise roles of the different subsets generated during injury and resolution are still under investigation, the prevailing dogma is that during active fibrogenesis, the macrophage pool is dominated by pro-inflammatory and pro-fibrogenic macrophages (31, 89, 90).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [31]
In Results, “Distinct macrophage subpopulations inhabit the fibrotic niche” reports that scar-associated macrophages expand in cirrhotic livers and promote collagen expression. “Pro-fibrogenic phenotype of scar-associated macrophages” identifies pro-fibrogenic genes, including IL1B and CXCL8. Neither section establishes that pro-inflammatory and pro-fibrogenic macrophages dominate the overall macrophage pool during active fibrogenesis. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMacrophages in the fibrotic liver called LAMs, SAMs, and NAMs in different studies largely share a conserved transcriptional profile.
“A good example of this is the population of macrophages in the fibrotic liver, which have been called LAMs, SAMs, and NAMs in different studies, despite largely sharing a conserved transcriptional profile (31, 104, 108).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [31]
The Results sections ‘Distinct macrophage subpopulations inhabit the fibrotic niche’ and ‘Pro-fibrogenic phenotype of scar-associated macrophages’ identify scar-associated macrophages (SAMΦ) in fibrotic liver and describe their defining gene-expression signatures (page numbers unavailable). Our copy does not compare SAMΦ with populations called LAMs or NAMs, so it does not establish that all three largely share a conserved transcriptional profile. (LLM, conf=0.86)
Experimental — accuracy not yet measuredLAMs produce mediators such as SPP1 and TGF-β that activate HSCs and may promote fibrogenesis.
“these cells also produce mediators such as SPP1 and TGF-β that activate HSCs and hence may promote fibrogenesis (31).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [31]
The Results sections on scar-associated macrophages report SPP1 expression and show that macrophage-conditioned media promotes fibrillar collagen expression in human HSCs, supporting a potential pro-fibrogenic effect. The cited passages do not identify TGF-β as a mediator produced by these macrophages or show that SPP1 itself activates HSCs. Page numbers are unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredLAMs, SAMs and NAMs exhibit a very similar transcriptional profile, with the precise name reflecting the different studies in which these cells were identified.
“Notably, these cells exhibit a very similar transcriptional profile, with the precise name (LAM, SAM, or NAM) reflecting the different studies in which these cells were identified.”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [31]
The Results section, “Pro-fibrogenic phenotype of scar-associated macrophages” (page unavailable), defines a transcriptional signature for scar-associated macrophages (SAMΦ). Our copy does not compare SAMΦ with LAMs or NAMs or say that the three names reflect the studies in which the cells were identified. (LLM, conf=0.83)
Experimental — accuracy not yet measuredSingle-cell RNA-seq studies have identified, in human MASLD, macrophage subsets largely analogous to those previously described in mouse.
“Single-cell RNA-seq studies conducted by independent groups have identified, in human MASLD, macrophage subsets largely analogous to those previously described in mouse (196–198). These include resident KCs (VSIG4+/CD163+/MARCO+/TIMD4+), Mo-KCs (VSIG4+/CD163+/MARCO-/TIMD4-), LAMs (VSIG4-/TREM2+/CD9+) and C-LAMs (VSIG4-/CX3CR1+/CCR2+).”
From Strategies to promote liver fibrosis amelioration with involvement of restorative macrophages (2026) · cites this paper as [198]
The Results ('Pro-fibrogenic phenotype of scar-associated macrophages'; page unavailable) report that human and mouse TREM2+CD9+ scar-associated macrophages cluster together in a cross-species single-cell analysis. But the human single-cell samples were from cirrhotic livers; the paper assessed NAFLD/NASH using microarray deconvolution and biopsy staining, not single-cell RNA-seq of human MASLD. It therefore supports the cross-species analogy for one macrophage population, but not the claim as framed for human MASLD. (LLM, conf=0.88)
Experimental — accuracy not yet measuredSub-populations of macrophages and HSCs in the healthy human liver have been described in single-cell data.
“While sub-populations of macrophages and HSCs in the healthy human liver have been described in single-cell data10–12, these subpopulations, and potential gene expression variations within, have not been resolved within the lobule organization at single-cell resolution in the human liver.”
From Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (2025) · cites this paper as [11]
The Results section on macrophages identifies distinct Kupffer-cell clusters in human liver samples that included healthy livers, supporting the macrophage portion. The Results section on mesenchymal cells identifies one cluster as hepatic stellate cells and distinguishes it from other mesenchymal populations, but does not describe multiple HSC subpopulations in healthy human liver. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSAMs localize around fibrotic scars.
“and fibrotic scars (SAM) (6)”
From Lipid-associated macrophages' promotion of fibrosis resolution during MASH regression requires TREM2 (2024) · cites this paper as [6]
Monocytes recruited to zones of steatosis and fibrosis appear to take on an alternative profile, which has been given multiple names, including lipid-associated macrophages (LAMs), scar-associated macrophages (SAMs) and NASH-associated macrophages (NAMs).
“On the other hand, those monocytes recruited to zones of steatosis and fibrosis appear to take on an alternative profile, which has been given multiple names, including lipid-associated macrophages (LAMs), scar-associated macrophages (SAMs) and NASH-associated macrophages (NAMs) (31, 104, 108, 109).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [31]
Recent single-cell human liver studies have largely focused on chronic liver disease rather than ALF, with emphasis on non-parenchymal cell populations.
“Recent single-cell human liver studies have largely focused on chronic liver disease rather than ALF, with emphasis on non-parenchymal cell populations7–9”
From Multimodal decoding of human liver regeneration (2024) · cites this paper as [7]
TREM2+/CD9+ macrophages exhibit a pro-fibrogenic phenotype and accumulate within collagen-rich fibrotic niches in cirrhotic livers.
“Notably, TREM2+/CD9+ macrophages have been shown to exhibit a pro-fibrogenic phenotype and to accumulate within collagen-rich fibrotic niches in cirrhotic livers, leading to their designation as scar associated macrophages (SAMs) (198).”
From Strategies to promote liver fibrosis amelioration with involvement of restorative macrophages (2026) · cites this paper as [198]
The role of TREM2 in regulating the pro-fibrotic AM phenotype in lung fibrosis remains unclear.
“except for the mere recognition as a marker of fibrosis-associated macrophages39,43–45, the role of TREM2 in regulating the pro-fibrotic AM phenotype in lung fibrosis remains unclear.”
From TREM2 promotes lung fibrosis via controlling alveolar macrophage survival and pro-fibrotic activity (2025) · cites this paper as [39]
In liver, a TREM2+CD9+ subset of macrophages that differentiate from circulating monocytes expands during liver cirrhosis and contributes to fibrosis.
“In the liver, a TREM2+CD9+ subset of macrophages that differentiate from circulating monocytes expands during liver cirrhosis and contributes to fibrosis (Ramachandran et al., 2019).”
From TREM2 Modulation Remodels the Tumor Myeloid Landscape Enhancing Anti-PD-1 Immunotherapy (2020) · cites this paper as Ramachandran et al., 2019
Both macrophage populations were identified by expression of CD74, while Mac 2 cells also expressed CD5L and MARCO, most consistent with non-inflammatory macrophages or Kupffer cells.
“Both macrophage populations were identified by expression of CD74, while Mac 2 cells also expressed CD5L and MARCO (Fig. 2d, i; Supplementary Fig. 6b), most consistent with non-inflammatory macrophages or Kupffer cells10,11,21.”
From Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (2025) · cites this paper as [11]
In human single-cell RNA-sequencing datasets, Treg frequency is significantly higher in MASH livers than in control livers.
“Notably, the Treg frequency was significantly elevated in MASH livers relative to that of controls (Fig. 1E), echoing the Treg enrichment observed in the CDAHFD and AMLN models.”
From Regulatory T cells safeguard liver health during metabolic-associated steatohepatitis (2026) · cites this paper as [22]
Extended Data Figure 3 compares T-cell and innate lymphoid-cell fractions in healthy versus cirrhotic livers, but the available text does not report a significant increase in Tregs in MASH livers. Extended Data Figure 7 examines NASH liver samples, but its frequency analysis concerns scar-associated macrophages, not Tregs. Searches for Treg and regulatory T cells found no passage establishing the claimed comparison. (LLM, conf=0.76)
Experimental — accuracy not yet measuredPDGFRB expression was concentrated along the edges of ALDOB-expressing hepatocytes in a distribution expected for HSCs, which are located in the subendothelial space.
“PDGFRB expression was concentrated along the edges of ALDOB-expressing hepatocytes in a distribution expected for HSCs, which are located in the subendothelial space11 (Supplementary Fig. 2a–f).”
From Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (2025) · cites this paper as [11]
The citation is attached to the statement that hepatic stellate cells occupy the subendothelial space. The Results section on mesenchymal cells identifies an HSC population by RGS5 staining, but our copy does not state its subendothelial location. Searches for “subendothelial” and “space of Disse” found no passage establishing that location; the PDGFRB–ALDOB staining is attributed to the citing paper’s supplementary figure. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn cirrhosis-enriched neighbourhoods, Milo recovered over-expression of known markers of scar-associated endothelium, including ACKR1 and PLVAP.
“In the cirrhosis-enriched neighbourhoods, we recovered over-expression of known markers of scar-associated endothelium, including ACKR1 and PLVAP (Fig 5F) [2].”
From Differential abundance testing on single-cell data using k-nearest neighbor graphs (2022) · cites this paper as [2]
This study revealed the presence of two disease-associated endothelial cell populations in the fibrotic niche, characterized as CD34+PLVAP+VWA1+ and CD34+PLVAP+ACKR1+ populations.
“In addition to providing a first-of-its-kind liver cell atlas, this study revealed the presence of two disease-associated endothelial cell populations in the fibrotic niche, characterized as CD34+PLVAP+VWA1+ and CD34+PLVAP+ACKR1+ populations.”
From Inflammation and immunity in liver homeostasis and disease: a nexus of hepatocytes, nonparenchymal cells and immune cells (2025) · cites this paper as [335]
This same study identified PDGFRA as a marker of scar-associated fibroblasts in cirrhotic livers.
“Moreover, this same study identified PDGFRA as a marker of scar-associated fibroblasts in cirrhotic livers.”
From Inflammation and immunity in liver homeostasis and disease: a nexus of hepatocytes, nonparenchymal cells and immune cells (2025) · cites this paper as [335]
One landmark study described the fibrotic niche in healthy and cirrhotic human livers via single-cell RNA sequencing.
“One landmark study described the fibrotic niche in healthy and cirrhotic human livers via single-cell RNA sequencing [335].”
From Inflammation and immunity in liver homeostasis and disease: a nexus of hepatocytes, nonparenchymal cells and immune cells (2025) · cites this paper as [335]
ScRNAseq of human cirrhotic livers has identified a subset of TREM2+CD9+ macrophages enriched in heavily scarred regions that secrete cytokines and growth factors, including EGF and PDGF-BB, to create a pro-fibrogenic niche for activated HSCs.
“ScRNAseq of human cirrhotic livers has identified a subset of TREM2+CD9+ macrophages enriched in heavily scarred regions of the liver that secrete cytokines and growth factors, including epidermal growth factor (EGF) and platelet-derived growth factor BB (PDGF-BB) to create a pro-fibrogenic niche for aHSCs (56).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [56]
This LAM population associates closely with activated HSCs and likely overlaps with scar-associated TREM2+ CD9+ macrophages described in human cirrhosis.
“This population was found to associate closely with aHSCs and likely overlaps with the scar-associated TREM2+ CD9+ macrophages described by Ramachandran et al. in scRNAseq of human cirrhosis (20, 56).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [56]
Fibrogenic TREM2+CD9+ scar-associated macrophages have been characterized in human cirrhosis.
“Separately, fibrogenic TREM2+CD9+ “scar-associated” macrophages have been characterized in human cirrhosis (56).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [56]
In silico trajectory analysis, based on spliced vs. unspliced mRNA ratios, suggested that TREM2+/CD9+ scar-associated macrophages were derived from blood monocytes.
“In silico trajectory analysis, based on spliced vs. unspliced mRNA ratios, suggested that these cells were derived from blood monocytes.”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Immunofluorescence staining demonstrated that TREM2+/CD9+ macrophages were highly enriched in the fibrotic niche.
“Immunofluorescence staining demonstrated that these TREM2+/CD9+ macrophages were highly enriched in the fibrotic niche.”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Ramachandran et al. used scRNAseq to identify a disease-associated TREM2+/CD9+ macrophage population that was significantly expanded in human cirrhotic livers.
“Ramachandran et al. used scRNAseq technology to identify a disease-associated TREM2+/CD9+ macrophage population that was significantly expanded in human cirrhotic livers.”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Ligand-receptor pairs were localised to the fibrotic niche between scar-associated macrophages expressing TNFSF12 and PDGFB with myofibroblast receptors TNFSF12A and PDGFRA, respectively.
“Ligand-receptor pairs were localised to the fibrotic niche between scar-associated macrophages expressing TNFSF12 and PDGFB with myofibroblast receptors TNFSF12A and PDGFRA, respectively.”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Gene ontology of the top differentially expressed genes in scar-associated macrophages identified pro-fibrogenic factors such as IL-1B, TREM2, CXCR4, CCR2, CXCL8, TNFSF12 and VEGFA, which regulate scar-producing myofibroblasts, upregulate inflammation and promote angiogenesis.
“Gene ontology of the top differentially expressed genes identified pro-fibrogenic factors, such as IL-1B, TREM2 (triggering receptor expressed on myeloid cells 2), CXCR4, C-C motif chemokine receptor (CCR)2, CXCL8, TNFSF12 and vascular endothelial growth factor (VEGF)A, which regulate scar-producing myofibroblasts, upregulate inflammation and promote angiogenesis.”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Analysis of the transcriptome of scar-associated macrophages demonstrated a phenotype analogous to TREM2+/CD9+ BMDMs in mice.
“Analysis of the transcriptome of these scar-associated macrophages demonstrated a phenotype analogous to TREM2+/CD9+ BMDMs in mice.”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Cognate, pro-fibrotic myofibroblast receptors were also identified for secreted phosphoprotein 1 and IL1β.
“Cognate, pro-fibrotic myofibroblast receptors were also identified for secreted phosphoprotein 1 and IL1β.75”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Ramachandran et al. identified a distinct population of scar-associated mesenchymal cells in the human liver expressing high levels of fibrogenic genes and the myofibroblast marker PDGFRA, topographically restricted to fibrotic septae, with pro-fibrogenic pathways including TNFRSF12A, PDGFR and Notch paired to ligands in scar-associated macrophages and scar-associated endothelia.
“Ramachandran et al. used this approach to identify a distinct population of scar-associated mesenchymal cells in the human liver expressing high levels of fibrogenic genes and the myofibroblast marker, PDGFRA. These myofibroblasts were topographically restricted to fibrotic septae and ligand-receptor analysis revealed a number of pro-fibrogenic pathways including TNFRSF12A, PDGFR and Notch. These”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Scar-associated LSECs expand in human cirrhosis, have a PLVAP+ and ACKR1+ transcriptome, and demonstrate pro-inflammatory ligand-receptor interactions such as TGFB1-TGFBR3, JAG1-NOTCH1 and CCL2-ACKR1.
“Scar-associated LSECs have been shown by scRNAseq to expand in human cirrhosis. These cells have a PLVAP+ and ACKR1+ transcriptome and demonstrate a number of pro-inflammatory ligand-receptor interactions, such as TGFB1-TGFBR3, JAG1-NOTCH1 and CCL2-ACKR1.75”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [75]
Seminal work from the Henderson group first profiled hepatic cells, including HSCs from fibrotic mouse and patient livers, and this has since been expanded to MASH by several groups including ours.
“Seminal work from the Henderson group first profiled hepatic cells, including HSCs from fibrotic mouse and patient livers (50, 51), which has since been expanded to MASH by several other groups including ours.”
From Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH) (2023) · cites this paper as [51]
LAMs are identified by TREM2, CD9, and SPP1 expression, which also mark scar-associated macrophages in cirrhotic patients, suggesting a common macrophage lineage across liver injury models.
“LAMs are identified by the expression of TREM2, Tetraspanin CD9 (CD9), and SPP1, which also represent markers of scar-associated macrophages (SAMs) in cirrhotic patients, suggesting a common macrophage lineage in different liver injury models (51).”
From Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH) (2023) · cites this paper as [51]
Animal models implicate HSCs and immune cells, especially macrophages, as major cellular drivers of extracellular matrix turnover, through reduced secretion of ECM components and crosslinking enzymes and increased secretion of proteases and their inhibitors.
“Animal models implicate HSCs and immune cells, especially macrophages, as major cellular drivers of extracellular matrix turnover, both through reduced secretion of ECM components and crosslinking enzymes as well as increased secretion of proteases and their inhibitors (51, 52, 64, 262, 270-274).”
From Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH) (2023) · cites this paper as [51]
Mature and plasma B-cell clusters have been detected by scRNAseq within areas of scarring in fibrotic livers of patients with cirrhosis.
“Mature and plasma B‐cell clusters have been also detected by sc‐RNAseq within areas of scarring in fibrotic livers of patients with cirrhosis.( 58 )”
From The Emerging Role of B Cells in the Pathogenesis of NAFLD (2021) · cites this paper as [58]
While many discoveries are based on mouse models, scRNA-seq analyses from human livers have identified SAMs as a unique population located in the fibrotic niche of cirrhotic livers of different disease aetiologies.
“While many of these discoveries have been based on mouse models, scRNA-seq analyses from human livers have also identified SAMs as a unique population located in the fibrotic niche of cirrhotic livers of different disease aetiologies.74”
From An integrated view of anti-inflammatory and antifibrotic targets for the treatment of NASH (2023) · cites this paper as [74]
Significant diversity and functional heterogeneity exist within the fibroblast population during organ fibrosis.
“Increasingly sophisticated experimental approaches have allowed discovery of significant diversity and functional heterogeneity within the fibroblast population during organ fibrosis22–25 .”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [22]
In the gastrointestinal tract, a single-cell census of the colonic mesenchyme revealed four fibroblast subsets in addition to pericytes and myofibroblasts, and identified a fibroblast subpopulation near the colonic crypt niche that expresses SOX6, F3, and WNT genes essential for colonic epithelial stem cell function.
“a single-cell census of the colonic mesenchyme revealed four subsets of fibroblasts in addition to pericytes and myofibroblasts, and identification of a fibroblast subpopulation proximal to the colonic crypt niche which expressed SOX6, F3 (CD142), and WNT genes essential for colonic epithelial stem cell function.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [22]
In colitis, the colonic crypt niche becomes dysregulated with the emergence of an activated mesenchymal population expressing TNFSF14, fibroblastic reticular cell-associated genes, IL-33, and lysyl oxidases, which leads to impaired epithelial proliferation and maturation.
“In colitis, this niche became dysregulated with emergence of an activated mesenchymal population expressing TNFSF14, fibroblastic reticular cell-associated genes, interleukin (IL)-33, and lysyl oxidases (LOX) leading to impaired epithelial proliferation and maturation”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [22]
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 12,116 · see citing works
Design and validation of a histological scoring system for nonalcoholic fatty liver disease†
Kleiner, D. E., Brunt, E. M., Van Natta, M., Behling, C., Contos, M. J., Cummings, O. W., Ferrell, L. D., Liu, Y., Torbenson, M. S., Unalp‐Arida, A., et al. (2005) · Hepatology · doi:10.1002/hep.20701 · Cited by 10,791 · see citing works
QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17204-5 · Cited by 8,908 · see citing works
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314 · see citing works
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · see citing works
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520 · see citing works
Macrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684 · see citing works
Self-citationMechanisms of NAFLD development and therapeutic strategies
Friedman, S. L., Neuschwander-Tetri, B. A., Rinella, M., & Sanyal, A. J. (2018) · Nature Medicine · doi:10.1038/s41591-018-0104-9 · Cited by 4,354 · see citing works
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118 · see citing works
Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis
Yona, S., Kim, K.-W., Wolf, Y., Mildner, A., Varol, D., Breker, M., Strauss-Ayali, D., Viukov, S., Guilliams, M., Misharin, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.12.001 · Cited by 3,245 · see citing works
Angulo, P., Kleiner, D. E., Dam-Larsen, S., Adams, L. A., Bjornsson, E. S., Charatcharoenwitthaya, P., Mills, P. R., Keach, J. C., Lafferty, H. D., Stahler, A., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.04.043 · Cited by 2,987 · see citing works
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification
Arganda‐Carreras, I., Kaynig, V., Rueden, C., Eliceiri, K. W., Schindelin, J., Cardona, A., & Seung, H. S. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx180 · Cited by 2,408 · see citing works
Single-cell reconstruction of the early maternal–fetal interface in humans
Vento-Tormo, R., Efremova, M., Botting, R. A., Turco, M. Y., Vento-Tormo, M., Meyer, K. B., Park, J.-E., Stephenson, E., Polański, K., Goncalves, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0698-6 · Cited by 2,358 · see citing works
Self-citationTissue-resident macrophages originate from yolk-sac-derived erythro-myeloid progenitors
Gomez Perdiguero, E., Klapproth, K., Schulz, C., Busch, K., Azzoni, E., Crozet, L., Garner, H., Trouillet, C., de Bruijn, M. F., Geissmann, F., et al. (2015) · Nature · doi:10.1038/nature13989 · Cited by 2,339 · see citing works
McCarthy, D. J., Campbell, K. R., Lun, A. T. L., & Wills, Q. F. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw777 · Cited by 1,852 · see citing works
Pathogenesis of Liver Fibrosis
Hernandez-Gea, V., & Friedman, S. L. (2011) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-011110-130246 · Cited by 1,809 · see citing works
Dendritic cells, monocytes and macrophages: a unified nomenclature based on ontogeny
Guilliams, M., Ginhoux, F., Jakubzick, C., Naik, S. H., Onai, N., Schraml, B. U., Segura, É., Tussiwand, R., & Yona, S. (2014) · Nature reviews. Immunology · doi:10.1038/nri3712 · Cited by 1,802 · see citing works
A single-cell survey of the small intestinal epithelium
Haber, A. L., Biton, M., Rogel, N., Herbst, R. H., Shekhar, K., Smillie, C., Burgin, G., Delorey, T. M., Howitt, M. R., Katz, Y., et al. (2017) · Nature · doi:10.1038/nature24489 · Cited by 1,750 · see citing works
Selective depletion of macrophages reveals distinct, opposing roles during liver injury and repair
Duffield, J. S., Forbes, S. J., Constandinou, C. M., Clay, S., Partolina, M., Vuthoori, S., Wu, S., Lang, R., & Iredale, J. P. (2005) · Journal of Clinical Investigation · doi:10.1172/jci200522675 · Cited by 1,649 · see citing works
Self-citationHuman primary liver cancer–derived organoid cultures for disease modeling and drug screening
Broutier, L., Mastrogiovanni, G., Verstegen, M. M., Francies, H. E., Gavarró, L. M., Bradshaw, C. R., Allen, G. E., Arnes-Benito, R., Sidorova, O., Gaspersz, M. P., et al. (2017) · Nature Medicine · doi:10.1038/nm.4438 · Cited by 1,471 · see citing works
Self-citationRecent Developments in Myofibroblast Biology
Hinz, B., Phan, S. H., Thannickal, V. J., Prunotto, M., Desmoulière, A., Varga, J., De Wever, O., Mareel, M., & Gabbiani, G. (2012) · The American Journal of Pathology · doi:10.1016/j.ajpath.2012.02.004 · Cited by 1,193 · see citing works
Hoeffel, G., Chen, J., Lavin, Y., Low, D., Almeida, F. F., See, P., Beaudin, A. E., Lum, J., Low, I., Forsberg, E. C., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.03.011 · Cited by 1,135 · see citing works
Single-cell spatial reconstruction reveals global division of labour in the mammalian liver
Halpern, K. B., Shenhav, R., Matcovitch-Natan, O., Tóth, B., Lemze, D., Golan, M., Massasa, E. E., Baydatch, S., Landen, S., Moor, A. E., et al. (2017) · Nature · doi:10.1038/nature21065 · Cited by 1,059 · see citing works
Ramachandran, P., Pellicoro, A., Vernon, M. A., Boulter, L., Aucott, R. L., Ali, A., Hartland, S. N., Snowdon, V. K., Cappon, A., Gordon-Walker, T. T., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119964109 · Cited by 1,001 · see citing works
Self-citationSpecification of tissue-resident macrophages during organogenesis
Mass, E., Ballesteros, I., Farlik, M., Halbritter, F., Günther, P., Crozet, L., Jacome-Galarza, C. E., Händler, K., Klughammer, J., Kobayashi, Y., et al. (2016) · Science · doi:10.1126/science.aaf4238 · Cited by 891 · see citing works
Henderson, N. C., Arnold, T. D., Katamura, Y., Giacomini, M. M., Rodriguez, J. D., McCarty, J. H., Pellicoro, A., Raschperger, E., Betsholtz, C., Ruminski, P. G., et al. (2013) · Nature Medicine · doi:10.1038/nm.3282 · Cited by 866 · see citing works
Self-citationBone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells
Scott, C. L., Zheng, F., De Baetselier, P., Martens, L., Saeys, Y., De Prijck, S., Lippens, S., Abels, C., Schoonooghe, S., Raes, G., et al. (2016) · Nature Communications · doi:10.1038/ncomms10321 · Cited by 860 · see citing works
QuPath: Open source software for digital pathology image analysisPreprint
Bankhead, P., Loughrey, M. B., Fernández, J. A., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/099796 · Cited by 808 · see citing works
Karlmark, K. R., Weiskirchen, R., Zimmermann, H. W., Gassler, N., Ginhoux, F., Weber, C., Merad, M., Luedde, T., Trautwein, C., & Tacke, F. (2009) · Hepatology · doi:10.1002/hep.22950 · Cited by 782 · see citing works
Self-citationIL-1 receptor antagonist ameliorates inflammasome-dependent alcoholic steatohepatitis in mice
Petrasek, J., Bala, S., Csak, T., Lippai, D., Kodys, K., Menashy, V., Barrieau, M., Min, S.-Y., Kurt-Jones, E. A., & Szabo, G. (2012) · Journal of Clinical Investigation · doi:10.1172/jci60777 · Cited by 735 · see citing works
An accurate and robust imputation method scImpute for single-cell RNA-seq data
Li, W. V., & Li, J. J. (2018) · Nature Communications · doi:10.1038/s41467-018-03405-7 · Cited by 682 · see citing works
Hepatic fibrosis: concept to treatment
Trautwein, C., Friedman, S. L., Schuppan, D., & Pinzani, M. (2015) · Journal of Hepatology · doi:10.1016/j.jhep.2015.02.039 · Cited by 677 · see citing works
Galectin-3 regulates myofibroblast activation and hepatic fibrosis
Henderson, N. C., MacKinnon, A. C., Farnworth, S. L., Poirier, F., Russo, F. P., Iredale, J. P., Haslett, C., Simpson, K. J., & Sethi, T. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0511167103 · Cited by 627 · see citing works
Self-citationDivergent angiocrine signals from vascular niche balance liver regeneration and fibrosis
Ding, B.-S., Cao, Z., Lis, R., Nolan, D. J., Guo, P., Simons, M., Penfold, M. E., Shido, K., Rabbany, S. Y., & Rafii, S. (2014) · Nature · doi:10.1038/nature12681 · Cited by 626 · see citing works
Multilineage communication regulates human liver bud development from pluripotency
Camp, J. G., Sekine, K., Gerber, T., Loeffler-Wirth, H., Binder, H., Gac, M., Kanton, S., Kageyama, J., Damm, G., Seehofer, D., et al. (2017) · Nature · doi:10.1038/nature22796 · Cited by 621 · see citing works
Pradere, J.-P., Kluwe, J., De Minicis, S., Jiao, J.-J., Gwak, G.-Y., Dapito, D. H., Jang, M.-K., Guenther, N. D., Mederacke, I., Friedman, R., et al. (2013) · Hepatology · doi:10.1002/hep.26429 · Cited by 613 · see citing works
Single-cell transcriptomics to explore the immune system in health and disease
Stubbington, M. J. T., Rozenblatt–Rosen, O., Regev, A., & Teichmann, S. A. (2017) · Science · doi:10.1126/science.aan6828 · Cited by 560 · see citing works
Self-citationHigh-yield and high-purity isolation of hepatic stellate cells from normal and fibrotic mouse livers
Mederacke, I., Dapito, D. H., Affò, S., Uchinami, H., & Schwabe, R. F. (2015) · Nature Protocols · doi:10.1038/nprot.2015.017 · Cited by 541 · see citing works
Origin of myofibroblasts in the fibrotic liver in mice
Iwaisako, K., Jiang, C., Zhang, M., Cong, M., Moore-Morris, T. J., Park, T. J., Liu, X., Xu, J., Wang, P., Paik, Y.-H., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400062111 · Cited by 535 · see citing works
Ahrens, M., Ammerpohl, O., von Schönfels, W., Kolarova, J., Bens, S., Itzel, T., Teufel, A., Herrmann, A., Brosch, M., Hinrichsen, H., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.07.004 · Cited by 528 · see citing works
Bain, C. C., Hawley, C. A., Garner, H., Scott, C. L., Schridde, A., Steers, N. J., Mack, M., Joshi, A., Guilliams, M., Mowat, A. M. I., et al. (2016) · Nature Communications · doi:10.1038/ncomms11852 · Cited by 527 · see citing works
Marcellin, P., & Kutala, B. K. (2018) · Liver International · doi:10.1111/liv.13682 · Cited by 513 · see citing works
Heme-mediated SPI-C induction promotes monocyte differentiation into iron-recycling macrophages
Haldar, M., Kohyama, M., So, A. Y.-L., KC, W., Wu, X., Briseño, C. G., Satpathy, A. T., Kretzer, N. M., Arase, H., Rajasekaran, N. S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.01.069 · Cited by 431 · see citing works
Gene Expression Profiles During Hepatic Stellate Cell Activation in Culture and In Vivo
Minicis, S. D., Seki, E., Uchinami, H., Kluwe, J., Zhang, Y., Brenner, D. A., & Schwabe, R. F. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.02.033 · Cited by 425 · see citing works
CCR2 promotes hepatic fibrosis in mice #
Seki, E., Minicis, S. D., Inokuchi, S., Taura, K., Miyai, K. N., van Rooijen, N., Schwabe, R. F., & Brenner, D. A. (2009) · Hepatology · doi:10.1002/hep.22952 · Cited by 415 · see citing works
Xie, G., Wang, X., Wang, L., Wang, L., Atkinson, R. D., Kanel, G. C., Gaarde, W. A., & DeLeve, L. D. (2012) · Gastroenterology · doi:10.1053/j.gastro.2011.12.017 · Cited by 410 · see citing works
Friedman, S. L., & Arthur, M. J. P. (1989) · Journal of Clinical Investigation · doi:10.1172/jci114362 · Cited by 404 · see citing works
Ensan, S., Li, A., Besla, R., Degousee, N., Cosme, J., Roufaiel, M., Shikatani, E. A., El-Maklizi, M., Williams, J. W., Robins, L., et al. (2016) · Nature Immunology · doi:10.1038/ni.3343 · Cited by 372 · see citing works
Pruenster, M., Mudde, L., Bombosi, P., Dimitrova, S., Zsak, M., Middleton, J., Richmond, A. J., Graham, G. J., Segerer, S., Nibbs, R. J. B., et al. (2008) · Nature Immunology · doi:10.1038/ni.1675 · Cited by 340 · see citing works
Zimmermann, H. W., Seidler, S., Nattermann, J., Gaßler, N., Hellerbrand, C., Zernecke, A., Tischendorf, J. J. W., Luedde, T., Weiskirchen, R., Trautwein, C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011049 · Cited by 311 · see citing works
Self-citationSox17 is indispensable for acquisition and maintenance of arterial identity
Corada, M., Orsenigo, F., Morini, M. F., Pitulescu, M. E., Bhat, G. P., Nyqvist, D., Breviario, F., Conti, V., Briot, A., Iruela‐Arispe, M. L., et al. (2013) · Nature Communications · doi:10.1038/ncomms3609 · Cited by 301 · see citing works
Ikenaga, N., Peng, Z., Vaid, K. A., Liu, S. B., Yoshida, S., Sverdlov, D., Mikels, A. J., Smith, V., Schuppan, D., & Popov, Y. V. (2017) · Gut · doi:10.1136/gutjnl-2016-312473 · Cited by 298 · see citing works
Zhang, H., Liu, T., Liu, C., Song, S., Zhang, X., Liu, W., Jia, H., Xue, Y., & Guo, A. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku887 · Cited by 296 · see citing works
The Transcription Factor ZEB2 Is Required to Maintain the Tissue-Specific Identities of Macrophages
Scott, C. L., T’Jonck, W., Martens, L., Todorov, H., Sichien, D., Soen, B., Bonnardel, J., Prijck, S. D., Vandamme, N., Cannoodt, R., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.07.004 · Cited by 287 · see citing works
Estimation of immune cell content in tumour tissue using single-cell RNA-seq data
Schelker, M., Feau, S., Du, J., Ranu, N., Klipp, E., MacBeath, G., Schoeberl, B., & Raue, A. (2017) · Nature Communications · doi:10.1038/s41467-017-02289-3 · Cited by 286 · see citing works
Hepatic Stellate Cells Secrete Angiopoietin 1 That Induces Angiogenesis in Liver Fibrosis
Taura, K., Minicis, S. D., Seki, E., Hatano, E., Iwaisako, K., Österreicher, C. H., Kodama, Y., Miura, K., Ikai, I., Üemoto, S., et al. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.07.065 · Cited by 286 · see citing works
Zimmermann, H. W., Seidler, S., Gaßler, N., Nattermann, J., Luedde, T., Trautwein, C., & Tacke, F. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021381 · Cited by 276 · see citing works
Self-citationSyn, W.-K., Choi, S. S., Liaskou, E., Karaca, G. F., Agboola, K. M., Oo, Y. H., Mi, Z., Pereira, T. A., Zdanowicz, M., Malladi, P., et al. (2011) · Hepatology · doi:10.1002/hep.23998 · Cited by 275 · see citing works
Thabut, D., & Shah, V. H. (2010) · Journal of Hepatology · doi:10.1016/j.jhep.2010.07.004 · Cited by 264 · see citing works
Beattie, L., Sawtell, A. K., Mann, J., Frame, T. C. M., Teal, B. E., Rivera, F. D. L., Brown, N., Walwyn-Brown, K., Moore, J. W. J., Macdonald, S. J., et al. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.05.037 · Cited by 258 · see citing works
Vascular Endothelial Growth Factor Promotes Fibrosis Resolution and Repair in Mice
Yang, L., Kwon, J., Popov, Y., Gajdos, G., Ordog, T., Brekken, R., Mukhopadhyay, D., Schuppan, D., Bi, Y., Simonetto, D., et al. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.01.061 · Cited by 234 · see citing works
Minutti, C. M., Modak, R. V., Macdonald, F., Li, F., Smyth, D. J., Dorward, D. A., Blair, N., Husovsky, C., Muir, A., Giampazolias, E., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.008 · Cited by 228 · see citing works
Self-citationLiu, S. B., Ikenaga, N., Peng, Z., Sverdlov, D. Y., Greenstein, A., Smith, V., Schuppan, D., & Popov, Y. (2016) · The FASEB Journal · doi:10.1096/fj.14-268425 · Cited by 224 · see citing works
Heinrich, M. C., Griffith, D., McKinley, A., Patterson, J., Presnell, A., Ramachandran, A., & Dêbiec‐Rychter, M. (2012) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-0625 · Cited by 222 · see citing works
Immunological functions of liver sinusoidal endothelial cells
Knolle, P. A., & Wohlleber, D. (2016) · Cellular and Molecular Immunology · doi:10.1038/cmi.2016.5 · Cited by 202 · see citing works
Local amplifiers of IL-4Rα–mediated macrophage activation promote repair in lung and liver
Minutti, C. M., Jackson-Jones, L. H., García-Fojeda, B., Knipper, J. A., Sutherland, T. E., Logan, N., Ringqvist, E. E., Guillamat‐Prats, R., Ferenbach, D. A., Artigas, A., et al. (2017) · Science · doi:10.1126/science.aaj2067 · Cited by 195 · see citing works
The Angiocrine Factor Rspondin3 Is a Key Determinant of Liver Zonation
Rocha, A. S., Vidal, V., Mertz, M., Kendall, T. J., Charlet, A., Okamoto, H., & Schedl, A. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.10.049 · Cited by 194 · see citing works
Self-citationThe PDGF system and its antagonists in liver fibrosis
Borkham‐Kamphorst, E., & Weiskirchen, R. (2015) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2015.10.002 · Cited by 179 · see citing works
Single-Cell Genomics: A Stepping Stone for Future Immunology Discoveries
Giladi, A., & Amit, I. (2018) · Cell · doi:10.1016/j.cell.2017.11.011 · Cited by 168 · see citing works
Thiriot, A., Perdomo, C., Cheng, G., Novitzky‐Basso, I., McArdle, S., Kishimoto, J. K., Barreiro, O., Mazo, I. B., Triboulet, R., Ley, K. F., et al. (2017) · BMC Biology · doi:10.1186/s12915-017-0381-7 · Cited by 167 · see citing works
Géraud, C., Reiners-Koch, P.-S., Zierow, J., Klapproth, K., Busch, K., Olsavszky, V., Leibing, T., Demory, A., Ulbrich, F., Diett, M., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci90086 · Cited by 164 · see citing works
Zhang, Q., Wang, C., Liu, Z., Liu, X., Han, C., Cao, X., & Li, N. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.310375 · Cited by 150 · see citing works
IL-34 mediates acute kidney injury and worsens subsequent chronic kidney disease
Baek, J.-H., Zeng, R., Weinmann‐Menke, J., Valerius, M. T., Wada, Y., Ajay, A. K., Colonna, M., & Kelley, V. R. (2015) · Journal of Clinical Investigation · doi:10.1172/jci81166 · Cited by 147 · see citing works
Analyzing huge pathology images with open source software
Deroulers, C., Ameisen, D., Badoual, M., Gerin, C., Granier, A., & Lartaud, M. (2013) · Diagnostic Pathology · doi:10.1186/1746-1596-8-92 · Cited by 108 · see citing works
Blood vessel control of macrophage maturation promotes arteriogenesis in ischemia
Krishnasamy, K., Limbourg, A., Kapanadze, T., Gamrekelashvili, J., Beger, C., Häger, C., Lozanovski, V. J., Falk, C., Napp, L. C., Bauersachs, J., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00953-2 · Cited by 104 · see citing works
Fang, F., Ooka, K., Bhattachyya, S., Wei, J., Wu, M., Du, P., Lin, S. M., Galdo, F. D., Feghali‐Bostwick, C. A., & Varga, J. (2011) · American Journal Of Pathology · doi:10.1016/j.ajpath.2011.01.035 · Cited by 101 · see citing works
The role of Kupffer cells in hepatic iron and lipid metabolism
Scott, C. L., & Guilliams, M. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2018.02.013 · Cited by 97 · see citing works
Foxc1 and Foxc2 deletion causes abnormal lymphangiogenesis and correlates with ERK hyperactivation
Fatima, A., Wang, Y., Uchida, Y., Norden, P. R., Liu, T., Culver, A. E., Dietz, W. H., Culver, F., Millay, M., Mukouyama, Y., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci80465 · Cited by 79 · see citing works
Liang, D., Chen, H., Zhao, L., Zhang, W., Hu, J., Liu, Z., Zhong, P., Wang, W., Wang, J., & Liang, G. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.10.016 · Cited by 79 · see citing works
Novel Insights on Notch signaling pathways in liver fibrosis
Ni, M.-M., Wang, Y.-R., Wu, W., Xia, C.-C., Zhang, Y.-H., Xu, J., Xu, T., & Li, J. (2018) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2018.02.051 · Cited by 73 · see citing works
Wilhelm, A., Shepherd, E. L., Amatucci, A., Munir, M., Reynolds, G. M., Humphreys, E. H., Resheq, Y. J., Adams, D., Hübscher, S. G., Burkly, L. C., et al. (2016) · The Journal of Pathology · doi:10.1002/path.4707 · Cited by 68 · see citing works
Self-citationCSF-1 signaling in macrophages: pleiotrophy through phosphotyrosine-based signaling pathways
Mouchemore, K. A., & Pixley, F. J. (2012) · Critical Reviews in Clinical Laboratory Sciences · doi:10.3109/10408363.2012.666845 · Cited by 66 · see citing works
Endothelial notch signaling is essential to prevent hepatic vascular malformations in mice
Cuervo, H., Nielsen, C. M., Simonetto, D. A., Ferrell, L. D., Shah, V. H., & Wang, R. A. (2016) · Hepatology · doi:10.1002/hep.28713 · Cited by 59 · see citing works
Chemokine receptor Cxcr4 contributes to kidney fibrosis via multiple effectors
Yuan, A., Lee, Y., Choi, U., Moeckel, G. W., & Karihaloo, A. K. (2014) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00146.2014 · Cited by 55 · see citing works
McKee, C. M., Sigala, B., Soeda, J., Mouralidarane, A., Morgan, M. L., Mazzoccoli, G., Rappa, F., Cappello, F., Cabibi, D., Pazienza, V., et al. (2015) · Scientific Reports · doi:10.1038/srep08812 · Cited by 54 · see citing works
Antifibrotics in chronic liver disease: tractable targets and translational challenges
Ramachandran, P., & Henderson, N. C. (2016) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(16)30110-8 · Cited by 51 · see citing works
Self-citationBradley, E. W., Ruan, M. M., & Oursler, M. J. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m709500200 · Cited by 43 · see citing works
Harada, K., Yamazaki, T., Iwata, C., Yoshimatsu, Y., Sase, H., Mishima, K., Morishita, Y., Hirashima, M., Oike, Y., Suda, T., et al. (2009) · Journal of Cell Science · doi:10.1242/jcs.052324 · Cited by 35 · see citing works
Shetty, S., Weston, C. J., Adams, D., & Lalor, P. F. (2014) · Journal of Visualized Experiments · doi:10.3791/51330 · Cited by 31 · see citing works
Self-citationEstimation of immune cell content in tumour tissue using single-cell RNA-seq dataPreprint
Schelker, M., Feau, S., Du, J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/127001 · Cited by 30 · see citing works
Patten, D. A., Kamarajah, S. K., Rose, J. M., Tickle, J., Shepherd, E. L., Adams, D., Weston, C. J., & Shetty, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-17928-4 · Cited by 29 · see citing works
Self-citationHepatic elastin content is predictive of adverse outcome in advanced fibrotic liver disease
Kendall, T. J., Dolman, G. E., Duff, C. M., Paish, E. C., Zaitoun, A. M., Irving, W. L., Fallowfield, J. A., & Guha, I. N. (2018) · Histopathology · doi:10.1111/his.13499 · Cited by 24 · see citing works
Self-citationWeinl, C., Wasylyk, C., Garrido, M. G., Sothilingam, V., Beck, S. C., Riehle, H., Stritt, C., Roux, M. J., Seeliger, M. W., Wasylyk, B., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107048 · Cited by 17 · see citing works
Of Mice and Men and Nonalcoholic Steatohepatitis
Brenner, D. A. (2018) · Hepatology · doi:10.1002/hep.30186 · Cited by 13 · see citing works
Detecting Sources of Transcriptional Heterogeneity in Large-Scale RNA-Seq Data Sets
Searle, B. C., Gittelman, R. M., Manor, O., & Akey, J. M. (2016) · Genetics · doi:10.1534/genetics.116.193714 · Cited by 8 · see citing works
Technique to measure the expression dynamics of each gene in a single cell
Klein, A. M. (2018) · Nature · doi:10.1038/d41586-018-05882-8 · Cited by 1 · see citing works
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Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages
Merad, M., & Martin, J. C. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0331-4 · Cited by 2,472 · see citing works
Fibrosis: from mechanisms to medicines
Henderson, N. C., Rieder, F., & Wynn, T. A. (2020) · Nature · doi:10.1038/s41586-020-2938-9 · Cited by 1,868 · see citing works
Self-citationTransfer learning enables predictions in network biology
Theodoris, C. V., Xiao, L., Chopra, A., Chaffin, M. D., Al Sayed, Z. R., Hill, M. C., Mantineo, H., Brydon, E. M., Zeng, Z., Liu, X. S., et al. (2023) · Nature · doi:10.1038/s41586-023-06139-9 · Cited by 1,193 · see citing works
Differential abundance testing on single-cell data using k-nearest neighbor graphs
Dann, E., Henderson, N. C., Teichmann, S. A., Morgan, M. D., & Marioni, J. C. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-01033-z · Cited by 938 · see citing works
Self-citationSpatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches
Guilliams, M., Bonnardel, J., Haest, B., Vanderborght, B., Wagner, C., Remmerie, A., Bujko, A., Martens, L., Thoné, T., Browaeys, R., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.018 · Cited by 985 · see citing works
Hepatic inflammatory responses in liver fibrosis
Hammerich, L., & Tacke, F. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00807-x · Cited by 803 · see citing works
Self-citationDecoding myofibroblast origins in human kidney fibrosis
Kuppe, C., Ibrahim, M. M., Kranz, J., Zhang, X., Ziegler, S., Perales-Patón, J., Jansen, J., Reimer, K. C., Smith, J. R., Dobie, R., et al. (2021) · Nature · doi:10.1038/s41586-020-2941-1 · Cited by 769 · see citing works
Self-citationWen, Y., Lambrecht, J., Ju, C., & Tacke, F. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-00558-8 · Cited by 695 · see citing works
Self-citationMechanisms of Fibrosis Development in Nonalcoholic Steatohepatitis
Schwabe, R. F., Tabas, I., & Pajvani, U. B. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.11.311 · Cited by 671 · see citing works
Macrophages in health and disease
Park, M. D., Silvin, A., Ginhoux, F., & Merad, M. (2022) · Cell · doi:10.1016/j.cell.2022.10.007 · Cited by 644 · see citing works
TREM2 Modulation Remodels the Tumor Myeloid Landscape Enhancing Anti-PD-1 Immunotherapy
Molgora, M., Esaulova, E., Vermi, W., Hou, J., Chen, Y., Luo, J., Brioschi, S., Bugatti, M., Omodei, A. S., Ricci, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.013 · Cited by 656 · see citing works
Remmerie, A., Martens, L., Thoné, T., Castoldi, A., Seurinck, R., Pavie, B., Roels, J., Vanneste, B., De Prijck, S., Vanhockerhout, M., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.08.004 · Cited by 592 · see citing works
Immune cell-mediated features of non-alcoholic steatohepatitis
Huby, T., & Gautier, E. L. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-021-00639-3 · Cited by 573 · see citing works
Targeting fibrosis: mechanisms and clinical trials
Zhao, M., Wang, L., Wang, M., Zhou, S., Lu, Y., Cui, H., Racanelli, A. C., Zhang, L., Ye, T., Ding, B., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01070-3 · Cited by 547 · see citing works
Determinants of resident tissue macrophage identity and function
Blériot, C., Chakarov, S., & Ginhoux, F. (2020) · Immunity · doi:10.1016/j.immuni.2020.05.014 · Cited by 507 · see citing works
Govaere, O., Cockell, S., Tiniakos, D., Queen, R., Younes, R., Vacca, M., Alexander, L., Ravaioli, F., Palmer, J., Petta, S., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aba4448 · Cited by 479 · see citing works
Seidman, J. S., Troutman, T. D., Sakai, M., Gola, A., Spann, N. J., Bennett, H., Bruni, C. M., Ouyang, Z., Li, R. Z., Sun, X., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.04.001 · Cited by 443 · see citing works
Single-cell transcriptomics uncovers zonation of function in the mesenchyme during liver fibrosis
Dobie, R., Wilson-Kanamori, J. R., Henderson, B. E. P., Smith, J. R., Matchett, K. P., Portman, J. R., Wallenborg, K., Picelli, S., Zagorska, A., Pendem, S. V., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.10.024 · Cited by 420 · see citing works
Self-citationThe Power of Plasticity—Metabolic Regulation of Hepatic Stellate Cells
Trivedi, P., Wang, S., & Friedman, S. L. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2020.10.026 · Cited by 427 · see citing works
Metabolic reprogramming in liver fibrosis
Horn, P., & Tacke, F. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.05.003 · Cited by 432 · see citing works
Self-citationHepatic fibrosis 2022: Unmet needs and a blueprint for the future
Friedman, S. L., & Pinzani, M. (2022) · Hepatology · doi:10.1002/hep.32285 · Cited by 430 · see citing works
Liver macrophages in health and disease
Guilliams, M., & Scott, C. L. (2022) · Immunity · doi:10.1016/j.immuni.2022.08.002 · Cited by 395 · see citing works
Tran, S., Baba, I., Poupel, L., Dussaud, S., Moreau, M., Gélineau, A., Marcelin, G., Magréau-Davy, E., Ouhachi, M., Lesnik, P., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.06.003 · Cited by 400 · see citing works
Colonna, M. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-023-00837-1 · Cited by 394 · see citing works
Nonalcoholic steatohepatitis-related hepatocellular carcinoma: pathogenesis and treatment
Llovet, J. M., Willoughby, C. E., Singal, A. G., Greten, T. F., Heikenwälder, M., El-Serag, H. B., Finn, R. S., & Friedman, S. L. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00754-7 · Cited by 354 · see citing works
Identification of a broadly fibrogenic macrophage subset induced by type 3 inflammation
Fabre, T., Barron, A. M. S., Christensen, S. M., Asano, S., Bound, K., Lech, M. P., Wadsworth, M. H., Chen, X., Wang, C., Wang, J., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.add8945 · Cited by 355 · see citing works
Self-citationAlcohol-associated liver disease
Mackowiak, B., Fu, Y., Maccioni, L., & Gao, B. (2024) · Journal of Clinical Investigation · doi:10.1172/jci176345 · Cited by 359 · see citing works
An integrated view of anti-inflammatory and antifibrotic targets for the treatment of NASH
Tacke, F., Puengel, T., Loomba, R., & Friedman, S. L. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.03.038 · Cited by 321 · see citing works
Self-citationAndrews, T. S., Atif, J., Liu, J. C., Perciani, C. T., Ma, X., Thoeni, C., Slyper, M., Eraslan, G., Segerstolpe, A., Manuel, J., et al. (2022) · Hepatology Communications · doi:10.1002/hep4.1854 · Cited by 307 · see citing works
Nonalcoholic steatohepatitis: the role of peroxisome proliferator-activated receptors
Francque, S., Szabo, G., Abdelmalek, M. F., Byrne, C. D., Cusi, K., Dufour, J.-F., Roden, M., Sacks, F., & Tacke, F. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-00366-5 · Cited by 316 · see citing works
Self-citationLiver regeneration and inflammation: from fundamental science to clinical applications
Campana, L., Esser, H., Huch, M., & Forbes, S. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00373-7 · Cited by 307 · see citing works
Pakshir, P., Noskovicova, N., Lodyga, M., Son, D. O., Schuster, R., Goodwin, A., Karvonen, H., & Hinz, B. (2020) · Journal of Cell Science · doi:10.1242/jcs.227900 · Cited by 293 · see citing works
Hepatic stellate cell autophagy inhibits extracellular vesicle release to attenuate liver fibrosis
Gao, J., Wei, B., de Assuncao, T. M., Liu, Z., Hu, X., Ibrahim, S., Cooper, S. A., Cao, S., Shah, V. H., & Kostallari, E. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.04.044 · Cited by 288 · see citing works
Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis
Ramachandran, P., Matchett, K. P., Dobie, R., Wilson-Kanamori, J. R., & Henderson, N. C. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0304-x · Cited by 253 · see citing works
Self-citationMacrophage MerTK Promotes Liver Fibrosis in Nonalcoholic Steatohepatitis
Cai, B., Dongiovanni, P., Corey, K. E., Wang, X., Shmarakov, I. O., Zheng, Z., Kasikara, C., Davra, V., Meroni, M., Chung, R. T., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.013 · Cited by 266 · see citing works
Wang, X., He, Q., Zhou, C., Xu, Y., Liu, D., Fujiwara, N., Kubota, N., Click, A., Henderson, P., Vancil, J., et al. (2023) · Immunity · doi:10.1016/j.immuni.2022.11.013 · Cited by 262 · see citing works
Yang, W., He, H., Wang, T., Su, N., Zhang, F., Jiang, K., Zhu, J., Zhang, C., Niu, K., Wang, L., et al. (2021) · Hepatology · doi:10.1002/hep.31987 · Cited by 250 · see citing works
A subset of Kupffer cells regulates metabolism through the expression of CD36
Blériot, C., Barreby, E., Dunsmore, G., Ballaire, R., Chakarov, S., Ficht, X., De Simone, G., Andreata, F., Fumagalli, V., Guo, W., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.08.006 · Cited by 236 · see citing works
Mechanical communication in fibrosis progression
Long, Y., Niu, Y., Liang, K., & Du, Y. (2022) · Trends in Cell Biology · doi:10.1016/j.tcb.2021.10.002 · Cited by 233 · see citing works
Hendrikx, T., Porsch, F., Kiss, M. G., Rajcic, D., Papac-Miličević, N., Hoebinger, C., Goederle, L., Hladik, A., Shaw, L. E., Horstmann, H., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.06.004 · Cited by 220 · see citing works
Su, T., Yang, Y., Lai, S., Jeong, J., Jung, Y., McConnell, M., Utsumi, T., & Iwakiri, Y. (2021) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2020.12.007 · Cited by 220 · see citing works
XCR1+ type 1 conventional dendritic cells drive liver pathology in non-alcoholic steatohepatitis
Deczkowska, A., David, E., Ramadori, P., Pfister, D., Safran, M., Li, B., Giladi, A., Jaitin, D. A., Barboy, O., Cohen, M., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01344-3 · Cited by 197 · see citing works
Li, R.-Y., Qin, Q., Yang, H.-C., Wang, Y.-Y., Mi, Y.-X., Yin, Y.-S., Wang, M., Yu, C.-J., & Tang, Y. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00542-y · Cited by 204 · see citing works
Hepatic Stellate Cell-Macrophage Crosstalk in Liver Fibrosis and Carcinogenesis
Matsuda, M., & Seki, E. (2020) · Seminars in Liver Disease · doi:10.1055/s-0040-1708876 · Cited by 189 · see citing works
The evolving role of liver sinusoidal endothelial cells in liver health and disease
McConnell, M. J., Kostallari, E., Ibrahim, S. H., & Iwakiri, Y. (2023) · Hepatology · doi:10.1097/hep.0000000000000207 · Cited by 189 · see citing works
Principles of Cell Circuits for Tissue Repair and Fibrosis
Adler, M., Mayo, A., Zhou, X., Franklin, R. A., Meizlish, M. L., Medzhitov, R., Kallenberger, S. M., & Alon, U. (2020) · iScience · doi:10.1016/j.isci.2020.100841 · Cited by 177 · see citing works
Anstee, Q. M., Neuschwander-Tetri, B. A., Wai-Sun Wong, V., Abdelmalek, M. F., Rodriguez-Araujo, G., Landgren, H., Park, G. S., Bedossa, P., Alkhouri, N., Tacke, F., et al. (2024) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2023.04.003 · Cited by 179 · see citing works
Self-citationA proteo-transcriptomic map of non-alcoholic fatty liver disease signatures
Govaere, O., Hasoon, M., Alexander, L., Cockell, S., Tiniakos, D., Ekstedt, M., Schattenberg, J. M., Boursier, J., Bugianesi, E., Ratziu, V., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00775-1 · Cited by 178 · see citing works
Single-cell RNA sequencing of human liver reveals hepatic stellate cell heterogeneity
Payen, V. L., Lavergne, A., Alevra Sarika, N., Colonval, M., Karim, L., Deckers, M., Najimi, M., Coppieters, W., Charloteaux, B., Sokal, E. M., et al. (2021) · JHEP Reports · doi:10.1016/j.jhepr.2021.100278 · Cited by 160 · see citing works
Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH)
Wang, S., & Friedman, S. L. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.adi0759 · Cited by 158 · see citing works
Cell therapy for advanced liver diseases: repair or rebuild
Dwyer, B. J., Macmillan, M. T., Brennan, P. N., & Forbes, S. J. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2020.09.014 · Cited by 141 · see citing works
Multipotent stromal cells: One name, multiple identities
Soliman, H., Theret, M., Scott, W., Hill, L., Underhill, T. M., Hinz, B., & Rossi, F. M. V. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.09.001 · Cited by 147 · see citing works
A human multi-lineage hepatic organoid model for liver fibrosis
Guan, Y., Enejder, A., Wang, M., Fang, Z., Cui, L., Chen, S.-Y., Wang, J., Tan, Y., Wu, M., Chen, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26410-9 · Cited by 149 · see citing works
Heterogeneity of HSCs in a Mouse Model of NASH
Rosenthal, S. B., Liu, X., Ganguly, S., Dhar, D., Pasillas, M. P., Ricciardelli, E., Li, R. Z., Troutman, T. D., Kisseleva, T., Glass, C. K., et al. (2021) · Hepatology · doi:10.1002/hep.31743 · Cited by 145 · see citing works
Lipid-associated macrophages' promotion of fibrosis resolution during MASH regression requires TREM2
Ganguly, S., Rosenthal, S. B., Ishizuka, K., Troutman, T. D., Rohm, T. V., Khader, N., Aleman-Muench, G., Sano, Y., Archilei, S., Soroosh, P., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405746121 · Cited by 145 · see citing works
“Although TREM2 has been shown to be up - regulated in advanced MASH livers ( 6 , 16 ), at what stage TREM2 is induced during the disease progression and what event (such as steatosis, fibrosis, or hepatocyte death) triggers TREM2 upregulation are not clear.”
InfluentialFuruta, K., Guo, Q., Pavelko, K. D., Lee, J.-H., Robertson, K. D., Nakao, Y., Melek, J., Shah, V. H., Hirsova, P., & Ibrahim, S. H. (2021) · Journal of Clinical Investigation · doi:10.1172/jci143690 · Cited by 136 · see citing works
Multimodal decoding of human liver regeneration
Matchett, K. P., Wilson-Kanamori, J. R., Portman, J. R., Kapourani, C. A., Fercoq, F., May, S., Zajdel, E., Beltran, M., Sutherland, E. F., Mackey, J. B. G., et al. (2024) · Nature · doi:10.1038/s41586-024-07376-2 · Cited by 140 · see citing works
Self-citationLongevity and replenishment of human liver-resident memory T cells and mononuclear phagocytes
Pallett, L. J., Burton, A. R., Amin, O. E., Rodriguez-Tajes, S., Patel, A. A., Zakeri, N., Jeffery-Smith, A., Swadling, L., Schmidt, N. M., Baiges, A., et al. (2020) · Journal of Experimental Medicine · doi:10.1084/jem.20200050 · Cited by 134 · see citing works
Molecular mechanisms in liver repair and regeneration: from physiology to therapeutics
Ma, X., Huang, T., Chen, X., Li, Q., Liao, M., Fu, L., Huang, J., Yuan, K., Wang, Z., & Zeng, Y. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02104-8 · Cited by 133 · see citing works
Hepatocyte TLR4 triggers inter-hepatocyte Jagged1/Notch signaling to determine NASH-induced fibrosis
Yu, J., Zhu, C., Wang, X., Kim, K., Bartolome, A., Dongiovanni, P., Yates, K. P., Valenti, L., Carrer, M., Sadowski, T., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abe1692 · Cited by 132 · see citing works
Loft, A., Alfaro, A. J., Schmidt, S. F., Pedersen, F. B., Terkelsen, M. K., Puglia, M., Chow, K. K., Feuchtinger, A., Troullinaki, M., Maida, A., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.06.005 · Cited by 129 · see citing works
Kupffer cell–like syncytia replenish resident macrophage function in the fibrotic liver
Peiseler, M., Araujo David, B., Zindel, J., Surewaard, B. G. J., Lee, W.-Y., Heymann, F., Nusse, Y., Castanheira, F. V. S., Shim, R., Guillot, A., et al. (2023) · Science · doi:10.1126/science.abq5202 · Cited by 123 · see citing works
Self-citationThe Role of Sinusoidal Endothelial Cells in the Axis of Inflammation and Cancer Within the Liver
Wilkinson, A. L., Qurashi, M., & Shetty, S. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00990 · Cited by 121 · see citing works
The Emerging Role of B Cells in the Pathogenesis of NAFLD
Barrow, F., Khan, S., Wang, H., & Revelo, X. S. (2021) · Hepatology · doi:10.1002/hep.31889 · Cited by 126 · see citing works
Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution
Watson, B. R., Paul, B., Rahman, R. U., Amir-Zilberstein, L., Segerstolpe, Å., Epstein, E. T., Murphy, S., Geistlinger, L., Lee, T., Shih, A., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55325-4 · Cited by 123 · see citing works
Reich, M., Spomer, L., Klindt, C., Fuchs, K., Stindt, J., Deutschmann, K., Höhne, J., Liaskou, E., Hov, J. R., Karlsen, T. H., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.03.029 · Cited by 121 · see citing works
Understanding the cellular interactome of non-alcoholic fatty liver disease
Wallace, S. J., Tacke, F., Schwabe, R. F., & Henderson, N. C. (2022) · JHEP Reports · doi:10.1016/j.jhepr.2022.100524 · Cited by 116 · see citing works
Self-citationSavage, T. M., Fortson, K. T., de los Santos-Alexis, K., Oliveras-Alsina, A., Rouanne, M., Rae, S. S., Gamarra, J. R., Shayya, H., Kornberg, A., Cavero, R., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.01.009 · Cited by 115 · see citing works
Chimeric antigen receptor-modified macrophages ameliorate liver fibrosis in preclinical models
Dai, H., Zhu, C., Huai, Q., Xu, W., Zhu, J., Zhang, X., Zhang, X., Sun, B., Xu, H., Zheng, M., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.01.034 · Cited by 114 · see citing works
Guillot, A., Winkler, M., Silva Afonso, M., Aggarwal, A., Lopez, D., Berger, H., Kohlhepp, M. S., Liu, H., Özdirik, B., Eschrich, J., et al. (2023) · Hepatology · doi:10.1097/hep.0000000000000270 · Cited by 116 · see citing works
Self-citationUnderstanding the heterogeneity of resident liver macrophages
Blériot, C., & Ginhoux, F. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02694 · Cited by 107 · see citing works
Kotsiliti, E., Leone, V., Schuehle, S., Govaere, O., Li, H., Wolf, M. J., Horvatic, H., Bierwirth, S., Hundertmark, J., Inverso, D., et al. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.04.037 · Cited by 108 · see citing works
Self-citationNeuregulin 4 suppresses NASH-HCC development by restraining tumor-prone liver microenvironment
Zhang, P., Chen, Z., Kuang, H., Liu, T., Zhu, J., Zhou, L., Wang, Q., Xiong, X., Meng, Z., Qiu, X., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.07.010 · Cited by 105 · see citing works
Heterogeneity and Function of Kupffer Cells in Liver Injury
Li, W., Chang, N., & Li, L. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.940867 · Cited by 102 · see citing works
Cellular plasticity balances the metabolic and proliferation dynamics of a regenerating liver
Chembazhi, U. V., Bangru, S., Hernaez, M., & Kalsotra, A. (2021) · Genome Research · doi:10.1101/gr.267013.120 · Cited by 102 · see citing works
Single-cell and bulk transcriptomics of the liver reveals potential targets of NASH with fibrosis
Wang, Z.-Y., Keogh, A., Waldt, A., Cuttat, R., Neri, M., Zhu, S., Schuierer, S., Ruchti, A., Crochemore, C., Knehr, J., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-98806-y · Cited by 103 · see citing works
BMP4 and Gremlin 1 regulate hepatic cell senescence during clinical progression of NAFLD/NASH
Baboota, R. K., Rawshani, A., Bonnet, L., Li, X., Yang, H., Mardinoglu, A., Tchkonia, T., Kirkland, J. L., Hoffmann, A., Dietrich, A., et al. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00620-x · Cited by 99 · see citing works
Feng, D., Xiang, X., Guan, Y., Guillot, A., Lu, H., Chang, C., He, Y., Wang, H., Pan, H., Ju, C., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci166954 · Cited by 93 · see citing works
Self-citationThe Multifaceted Roles of Macrophages in NAFLD Pathogenesis
Vonderlin, J., Chavakis, T., Sieweke, M., & Tacke, F. (2023) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2023.03.002 · Cited by 96 · see citing works
Self-citationMAIT cell inhibition promotes liver fibrosis regression via macrophage phenotype reprogramming
Mabire, M., Hegde, P., Hammoutene, A., Wan, J., Caër, C., Sayegh, R. A., Cadoux, M., Allaire, M., Weiss, E., Thibault-Sogorb, T., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37453-5 · Cited by 93 · see citing works
Lei, L., Bruneau, A., El Mourabit, H., Guégan, J., Folseraas, T., Lemoinne, S., Karlsen, T. H., Hoareau, B., Morichon, R., Gonzalez‐Sanchez, E., et al. (2022) · Hepatology · doi:10.1002/hep.32456 · Cited by 94 · see citing works
Self-citationSpatially restricted and ontogenically distinct hepatic macrophages are required for tissue repair
De Ponti, F. F., Bujko, A., Liu, Z., Collins, P. J., Schuermans, S., Maueroder, C., Amstelveen, S., Thoné, T., Martens, L., McKendrick, J. G., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.01.002 · Cited by 94 · see citing works
Self-citationZhou, L., Wang, M., Guo, H., Hou, J., Zhang, Y., Li, M., Wu, X., Chen, X., & Wang, L. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.848367 · Cited by 85 · see citing works
Spatial transcriptomics identifies enriched gene expression and cell types in human liver fibrosis
Chung, B. K., Øgaard, J., Reims, H. M., Karlsen, T. H., & Melum, E. (2022) · Hepatology Communications · doi:10.1002/hep4.2001 · Cited by 85 · see citing works
Angiocrine signaling in sinusoidal homeostasis and liver diseases
Gao, J., Lan, T., Kostallari, E., Guo, Y., Lai, E., Guillot, A., Ding, B., Tacke, F., Tang, C., & Shah, V. H. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.05.014 · Cited by 90 · see citing works
Self-citationNicheformer: a foundation model for single-cell and spatial omics
Tejada-Lapuerta, A., Schaar, A. C., Gutgesell, R., Palla, G., Halle, L., Minaeva, M., Vornholz, L., Dony, L., Drummer, F., Richter, T., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02814-z · Cited by 100 · see citing works
Hepatic Stellate Cell-Immune Interactions in NASH
Carter, J. K., & Friedman, S. L. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.867940 · Cited by 79 · see citing works
Hepatic Stellate Cells: Dictating Outcome in Nonalcoholic Fatty Liver Disease
Wiering, L., Subramanian, P., & Hammerich, L. (2023) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2023.02.010 · Cited by 80 · see citing works
TREM-2 plays a protective role in cholestasis by acting as a negative regulator of inflammation
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- Authors
- Ramachandran, P., Dobie, R., Wilson-Kanamori, J. R., Dora, E. F., Henderson, B. E. P., Luu, N. T., Portman, J. R., Matchett, K. P., Brice, M., Marwick, J. A., Taylor, R. S., Efremova, M., Vento-Tormo, R., Carragher, N. O., Kendall, T. J., Fallowfield, J. A., Harrison, E. M., Mole, D. J., Wigmore, S. J., Newsome, P. N., Weston, C. J., Iredale, J. P., Tacke, F., Pollard, J. W., Ponting, C. P., Marioni, J. C., Teichmann, S. A., & Henderson, N. C.
- Affiliations
- Centre for Inflammation Research (GB)
- University Hospitals Birmingham NHS Foundation Trust (GB)
- Edinburgh Cancer Research (GB)
- Wellcome Sanger Institute (GB)
- Edinburgh Royal Infirmary (GB)
- National Institute for Health and Care Research (GB)
- Charité – Universitätsmedizin Berlin (DE)
- Albert Einstein College of Medicine (US)
- Institute of Genetics and Cancer (GB)
- European Bioinformatics Institute (GB)
- Corresponding author
- Ramachandran, P.
- Henderson, N. C.
- ORCID
- Ramachandran, P.
- Dobie, R.
- Henderson, B. E. P.
- Luu, N. T.
- Portman, J. R.
- Matchett, K. P.
- Brice, M.
- Taylor, R. S.
- Efremova, M.
- Carragher, N. O.
- Kendall, T. J.
- Fallowfield, J. A.
- Harrison, E. M.
- Mole, D. J.
- Wigmore, S. J.
- Newsome, P. N.
- Weston, C. J.
- Iredale, J. P.
- Tacke, F.
- Pollard, J. W.
- Ponting, C. P.
- Marioni, J. C.
- Teichmann, S. A.
- Henderson, N. C.
- Venue
- Nature
- Published
- 2019-10-09
- Volume
- 575
- Issue
- 7783
- Pages
- 512-518
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6876711
- OpenAlex
- W2979595830
- Cited by
- 1,784
- References
- 98
- Citations by year
- 2026: 306 · 2025: 319 · 2024: 293 · 2023: 286 · 2022: 220 · 2021: 221 · 2020: 131 · 2019: 7
- FWCI
- 92.30
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Wellcome Trust (RE/18/5/34216, 103749, 101067/Z/13/Z, WT206194, 103749/Z/14/Z)
- University Hospitals Birmingham NHS Foundation Trust
- NIHR Bristol Biomedical Research Centre
- Cancer Research UK (22231)
- National Institute for Health and Care Research
- British Heart Foundation (RM/17/3/33381, RE/18/5/34216)
- Department of Health and Social Care
- Children's Liver Disease Foundation
- Tenovus
- University of Birmingham
- University of Bristol
- Medical Research Council (RM/17/3/33381, MC_PC_15049, MR/N008340/1, 103749, MC_PC_15075, MR/P008887/1, MC_UU_00007/15, MC_PC_15041, RE/18/5/34216, MR/N022556/1)
- Biotechnology and Biological Sciences Research Council (BB/N018869/1, RE/18/5/34216)
- Birmingham Biomedical Research Centre
- Topics
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Keywords
- liver cirrhosis, liver fibrosis, fibrotic niche, monocyte differentiation, collagen synthesis, TNFRSF12A, Notch signaling, non-parenchymal cells
- MeSH terms
- Animals, Duffy Blood-Group System, Female, Humans, Liver, Liver Cirrhosis, Macrophages, Male, Membrane Glycoproteins, Membrane Proteins, Phenotype, Receptors, Cell Surface, Receptors, Immunologic, Case-Control Studies, Cell Lineage, Receptor, Platelet-Derived Growth Factor alpha, Hepatocytes, Endothelial Cells, Mice, Hepatic Stellate Cells, Transendothelial and Transepithelial Migration, Single-Cell Analysis, Transcriptome, Tetraspanin 29
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